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import gradio as gr | |
from transformers import pipeline | |
# Initialize the language detection pipeline | |
language_detector = pipeline("text-classification", model="papluca/xlm-roberta-base-language-detection") | |
# Function to detect language | |
def detect_language(sentence): | |
result = language_detector(sentence) | |
return result[0]['label'] | |
# Gradio interface | |
iface = gr.Interface( | |
fn=detect_language, | |
inputs=gr.Textbox(label="Input Sentence"), | |
outputs=gr.Textbox(label="Detected Language") | |
) | |
# Launch the interface | |
iface.launch() |